Silibwet vs Murang'a SEAL: result 0-0 and analysis
Super LeagueRegular Season - 26Kick-off on May 6, 2023 at 10:00 AM (UTC)Bomet Stadium, Bomet
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What was the result of Silibwet vs Murang'a SEAL?
Silibwet and Murang'a SEAL drew 0-0 on May 6, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silibwet have 1 wins, 5 draws and 9 defeats; Murang'a SEAL have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2023 | MCF(away) | 0-2 | Super League |
| Apr 23, 2023 | Darajani Gogo(home) | 2-0 | Super League |
| Apr 19, 2023 | Migori Youth(away) | 1-2 | Super League |
| Apr 15, 2023 | Gusii(home) | 0-2 | Super League |
| Apr 9, 2023 | Shabana(away) | 0-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2023 | Kajiado(home) | 5-0 | Super League |
| Apr 23, 2023 | Kisumu All Stars(away) | 3-2 | Super League |
| Apr 15, 2023 | MCF(home) | 1-0 | Super League |
| Apr 9, 2023 | Darajani Gogo(away) | 1-0 | Super League |
| Apr 2, 2023 | AFC Leopards(home) | 0-1 | Shield Cup |
What does the head-to-head say?
Across the last 3 meetings: 0 Silibwet win(s), 0 draw(s), 3 Murang'a SEAL win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 11, 2023 | Murang'a SEAL 2-0 Silibwet | Super League |
| Jul 9, 2022 | Murang'a SEAL 1-0 Silibwet | Super League |
| Jan 26, 2022 | Silibwet 0-2 Murang'a SEAL | Super League |
Last archived meeting: Murang'a SEAL vs Silibwet on Jan 11, 2023
How many goals should we expect?
Silibwet score 0.5 and concede 1.6 goals per match over their last 15; Murang'a SEAL score 1.9 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silibwet | 0.5 | 1.6 | 5 | 5/15 | 7/15 |
| Murang'a SEAL | 1.9 | 0.6 | 8 | 4/15 | 6/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy